Software Engineer Team Leader - Data Pipeline

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Hiring Remotely in Ramat Gan
In-Office or Remote
Machine Learning • Software
The Role
Description

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

We are looking for a Software Engineer Team Lead to guide a talented team in building and evolving our Data pipeline team. This team develops modern, cloud-native production systems that process terabytes of data daily. This role will be at least 50% hands on.


Requirements
  • At least 2 years of experience in a managerial role.
  • At least 5 years of software development experience
  • At least 2 years of experience developing and operating Rust-based systems in production-MUST 
  • Experience working on data-intensive applications.
  • Experience with kafka
  • Excellent written and verbal communication skills.
  • Experience using ClickHouse in production- an advantage

Cultural Fit

We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.

Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.


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The Company
HQ: San Francisco, CA
198 Employees
Year Founded: 2014

What We Do

We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.

By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost.

In short, we are streaming the future of data.

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